- Model Development: Research, design, and develop state-of-the-art generative models such as GPT, GANs, VAEs, or diffusion models for tasks like text generation, summarization, reasoning, Q&A;, or predictive analytics.
- Fine-Tuning : Fine-tune pre-trained models (e.g., Llama3, Mistral, OpenAI GPT, BERT, T5) to meet domain-specific requirements.
- Data Preparation: Clean, preprocess, and structure large datasets to train, validate, and test generative AI models.
- Deployment: Implement scalable solutions for deploying generative AI models in production environments using tools like Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure).
- Collaboration : Work closely with cross-functional teams, including product managers, engineers, and stakeholders, to align AI solutions with business goals.
- Evaluation: Develop metrics and benchmarks to evaluate model performance and ensure quality outputs.
- Research: Stay up to date with the latest advancements in AI/ML, particularly in generative AI techniques, and propose innovative solutions.
- Ethical AI Practices:
Ensure ethical considerations are addressed in model development, including fairness, accountability, and explainability. Experience of architecting AI systems to solve complex business problems.
- Build advanced RAG pipelines, text chunking, and retrieval, LLM Prompt Engineering, using Vector Databases. Implement right LLM selection based on use cases and client criteria (GPT-4, Llama2, Mistral, Claude, Gemini, Flan, BERT) while managing trifecta of accuracy, cost, and latency/scale.
- Develop, fine-tune, context tune and implement state-of-the-art NLP models including Large Language Models like GPT, Llama3.1, Claude, BLOOM, Flan-T5, Falcon etc. fine-tuning PEFT LoRa/QLoRa adapters
- design AI systems & architectures, while considering valuable Responsible AI standards and AI Governance.
- Build Agentic AI, AutoGen, Muti-agents use cases, AI Autonomous Agents and LLM orchestration architectures for enterprise dat
📌 GenAI Data Scientist (Gurugram)
🏢 EXL
📍 Gurugram